SKILLEMALL.ai

AB browser-task-runner

Plan and execute repeatable browser-based workflows such as opening sites, logging in, navigating dashboards, filling forms, exporting data, taking screenshots, and extracting page content. Use when a task depends on browser automation or scripted browser interaction on the local machine, especially for fixed multi-step website workflows.

ClawHub Agent Skills author: Benboby v1.0.0 MIT-0 2 files body ≈ 429 tokens Open the sourceclawhub.ai analyzed 27 h ago

Plan and execute repeatable browser-based workflows such as opening sites, logging in, navigating dashboards, filling forms, exporting data, taking…

As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
B
65/100
Nearly there
When it triggers w 12
20
Inputs and preconditions w 11
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 429 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 340: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 29 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is an instruction-only skill for cautious browser automation, with no scripts and clear prompts to ask before sensitive or destructive actions.
    LLM: benign (high) · VirusTotal: · 5 Jun 2026